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A platform for research: civil engineering, architecture and urbanism
Modal Parameters Identification of Civil Engineering Structures Based on the Random Decrement Technique
Modal identification technique is an effective measure for building materials health diagnosis, structural optimization design and safety assessment in structural engineering field. The time-domain method can only use the response signals to identify the modal parameters under ambient excitation, which became a wide concern topic in recent years. According to the points above, the theories of random decrement technique, complex exponential method and time-series method are presented. The random decrement technique is combined with the other two methods to become joint algorithms. A numerical simulation model is constructed to verify the feasibility and validity of the two joint algorithms.
Modal Parameters Identification of Civil Engineering Structures Based on the Random Decrement Technique
Modal identification technique is an effective measure for building materials health diagnosis, structural optimization design and safety assessment in structural engineering field. The time-domain method can only use the response signals to identify the modal parameters under ambient excitation, which became a wide concern topic in recent years. According to the points above, the theories of random decrement technique, complex exponential method and time-series method are presented. The random decrement technique is combined with the other two methods to become joint algorithms. A numerical simulation model is constructed to verify the feasibility and validity of the two joint algorithms.
Modal Parameters Identification of Civil Engineering Structures Based on the Random Decrement Technique
Applied Mechanics and Materials ; 477-478 ; 732-735
2013-12-19
4 pages
Article (Journal)
Electronic Resource
English
Modal Analysis Based on the Random Decrement Technique:application to civil engineering structures
| BASE | 1998
| British Library Conference Proceedings | 2015